{"title":"Exploring Ototoxicity Associated with Capmatinib: Insights from a Real-World Data Analysis of the FDA Adverse Event Reporting System (FAERS) Database.","authors":"Yuhao Lin, Siqi Xu, Muling Deng, Yongli Cao, Jianming Ding, Tingting Lin","doi":"10.2147/CLEP.S528454","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Capmatinib was approved by the US Food and Drug Administration (FDA) in 2020 for the treatment of non-small cell lung cancer with MET exon 14 mutation (METex14). Real-world studies on the safety of Capmatinib are still lacking. The aim of this study was to explore the significant adverse drug reactions (ADRs) associated with Capmatinib through the FDA Adverse Event Reporting System (FAERS) database.</p><p><strong>Methods: </strong>We employed the reported odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and the Empirical Bayes Geometric Mean (EBGM) as primary algorithms for the disproportionality analysis. Adverse events (AEs) were classified as adverse drug reactions (ADRs) solely upon fulfillment of criteria across all four algorithms.</p><p><strong>Results: </strong>In our study, there were 1767 cases explicitly attributed to Capmatinib. A total of 38 ADRs in preferred terms (PTs) level in 14 system-organ categories (SOCs) were identified after filtering. Notably, unexpected SOC \"Ear and labyrinth disorders\" and PTs \"hypoacusis\" and \"deafness\" were identified, without being specified in the drug label.</p><p><strong>Conclusion: </strong>Our study identified unexpected ADRs associated with Capmatinib, with a focus on ototoxicity-related events, underscoring the need for enhanced clinical monitoring and further investigation into the underlying mechanisms.</p>","PeriodicalId":10362,"journal":{"name":"Clinical Epidemiology","volume":"17 ","pages":"513-521"},"PeriodicalIF":3.2000,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12145114/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/CLEP.S528454","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Capmatinib was approved by the US Food and Drug Administration (FDA) in 2020 for the treatment of non-small cell lung cancer with MET exon 14 mutation (METex14). Real-world studies on the safety of Capmatinib are still lacking. The aim of this study was to explore the significant adverse drug reactions (ADRs) associated with Capmatinib through the FDA Adverse Event Reporting System (FAERS) database.
Methods: We employed the reported odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and the Empirical Bayes Geometric Mean (EBGM) as primary algorithms for the disproportionality analysis. Adverse events (AEs) were classified as adverse drug reactions (ADRs) solely upon fulfillment of criteria across all four algorithms.
Results: In our study, there were 1767 cases explicitly attributed to Capmatinib. A total of 38 ADRs in preferred terms (PTs) level in 14 system-organ categories (SOCs) were identified after filtering. Notably, unexpected SOC "Ear and labyrinth disorders" and PTs "hypoacusis" and "deafness" were identified, without being specified in the drug label.
Conclusion: Our study identified unexpected ADRs associated with Capmatinib, with a focus on ototoxicity-related events, underscoring the need for enhanced clinical monitoring and further investigation into the underlying mechanisms.
期刊介绍:
Clinical Epidemiology is an international, peer reviewed, open access journal. Clinical Epidemiology focuses on the application of epidemiological principles and questions relating to patients and clinical care in terms of prevention, diagnosis, prognosis, and treatment.
Clinical Epidemiology welcomes papers covering these topics in form of original research and systematic reviews.
Clinical Epidemiology has a special interest in international electronic medical patient records and other routine health care data, especially as applied to safety of medical interventions, clinical utility of diagnostic procedures, understanding short- and long-term clinical course of diseases, clinical epidemiological and biostatistical methods, and systematic reviews.
When considering submission of a paper utilizing publicly-available data, authors should ensure that such studies add significantly to the body of knowledge and that they use appropriate validated methods for identifying health outcomes.
The journal has launched special series describing existing data sources for clinical epidemiology, international health care systems and validation studies of algorithms based on databases and registries.